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Apprentice Machine Learning Testing Jobs in New York

Prudential

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107.20K - $141.20K/yr

Solve complex problems by writing and testing application code, developing and validating ML models ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

Prudential

Lead Machine Learning Engineer

Newark, NJ · On-site

$107.20K - $141.20K/yr

Solve complex problems by writing and testing application code, developing and validating ML models ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

WITHIN

Machine Learning Engineer

New York, NY · On-site

$90.90K - $254.10K/yr

About the Role : We are in search of an exceptional Machine Learning Engineer to join our ... Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale.

Warnerbros

Machine Learning Engineer I

New York, NY

$106.70K - $146.10K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... Implement rigorous experimentation and A/B testing frameworks to validate model performance and ...

Spotify

Staff Machine Learning Engineer

New York, NY · On-site +1

$227.50K - $324.99K/yr

We are looking for a Machine Learning Engineer to join the Personalization team - an area of ... Promote and role-model best practices of ML systems development, testing, evaluation, etc., both ...

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Apprentice Machine Learning Testing information

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in New York? For Apprentice Machine Learning Testing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in New York look for? The top searched job categories for Apprentice Machine Learning Testing jobs in New York are:
What cities in New York are hiring for Apprentice Machine Learning Testing jobs? Cities in New York with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Lead, Machine Learning Engineer

Lead, Machine Learning Engineer

Prudential

Newark, NJ • On-site

$107.20K - $141.20K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Prudential rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

73rd of 259 rated insurance

Job description

Job Classification:

Technology - Data Analytics & Management

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions.

As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

Here is what you can expect in a typical day:

  • Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
  • Construct optimized data pipelines to feed ML models
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
  • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
  • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
  • Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL

The Skills and expertise you bring:

  • Bachelor of Computer Science or Engineering or experience in related fields
  • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization
  • Experience with agile development methodologies and Test-Driven Development (TDD)
  • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
  • Excellent problem solving, communication and collaboration skills

Advanced experience and/or expertise with several of the following:

  • Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts
  • Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics
  • Model Performance Management: model monitoring, model validation, bias detection, explainability, performance, drift, outliers etc.
  • Model Deployment: Thorough Understanding of MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning
  • Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark
  • Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc.
  • Programming Languages: Python, R, SQL, Java or Scala, SQL
You'll Love Working Here Because You Can

Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you.

What we offer you:Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $125,000.00 to $229,700.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.

  • Market competitive base salaries, with a yearly bonus potential at every level.

  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.

  • 401(k) plan with company match (up to 4%).

  • Company-funded pension plan.

  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.

  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.

  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.

  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.

Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.

Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.

If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com.

If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.

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